Triple
T5789351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Voyager |
E128352
|
entity |
| Predicate | trainFormation |
P26476
|
FINISHED |
| Object | 4-car sets |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 4-car sets | Statement: [Voyager, trainFormation, 4-car sets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trainFormation Context triple: [Voyager, trainFormation, 4-car sets]
-
A.
trainConfiguration
chosen
Indicates the specific arrangement and composition of train elements (such as locomotives and cars) used together for a particular operation or service.
-
B.
trainOperation
Indicates that an entity is engaged in operating, running, or managing the movement and service of a train.
-
C.
railwayGrouping
Indicates the organizational or administrative grouping to which a railway or railway-related entity belongs.
-
D.
trains
Indicates that one entity teaches, instructs, or coaches another entity to develop skills, knowledge, or abilities.
-
E.
railComponent
Indicates a relationship where one entity is a structural or functional part of a rail or railway system component of another entity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c0084450048190bc647b649a05136b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a53d0148190bdebc4f5609939ac |
completed | March 22, 2026, 5:43 p.m. |
| PD | Predicate disambiguation | batch_69c021d2cd608190b98a7e3aa7001d27 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:51 p.m.